Solution Architect II

General Purpose

We are seeking a highly motivated and visionary Solution Architect to serve as a senior technical leader responsible for defining, designing, and governing enterprise-scale data solutions that power analytics, business intelligence, and AI-driven decision-making. This role focuses on building durable, scalable, and adaptable data architectures that support today’s requirements while providing a foundation for future technologies and business growth.

Base salary range: $134,300 – $229,400. The range is dependent on factors such as experience, skills, qualifications, relevant education, certifications, seniority, and location.

• Define and own enterprise data architecture principles and standards that are independent of specific vendors or platforms.
• Design end-to-end data solutions that support analytical, operational, and advanced analytics use cases.
• Establish architectural patterns for data ingestion, storage, transformation, modeling, and consumption.
• Evaluate emerging technologies and guide platform choices based on business fit, scalability, sustainability, and cost.

• Act as a trusted advisor to IT and business leadership on data strategy, modernization, and investment decisions.
• Lead architecture reviews and provide direction on complex, cross-domain data initiatives.
• Mentor architects, engineers, and analytics practitioners on modern, vendor-agnostic data architecture practices.
• Influence enterprise alignment through architectural guidance rather than direct authority.

• Architect analytics‑ready data pipelines using modern transform‑centric approaches such as ELT.
• Define enterprise data models and semantic abstractions reusable across analytics and reporting tools.
• Enable standardized reporting and self‑service analytics across multiple BI and visualization platforms.
• Ensure analytical solutions remain portable, maintainable, and not tightly coupled to a single toolset.

• Define integration patterns for ingesting data from diverse internal and external sources.
• Support batch and near real‑time processing scenarios through flexible architectural designs.
• Establish expectations for data quality, observability, resilience, and lifecycle management.
• Promote loosely coupled architectures that support change and growth.

• Identify and shape AI and advanced analytics use cases such as forecasting, optimization, anomaly detection, and decision intelligence.
• Ensure data architectures support AI/ML needs, including feature readiness, experimentation, and scalable consumption.
• Partner with Data Science and Analytics teams to align data foundations with evolving analytical and AI capabilities.
• Advise leadership on architectural readiness for emerging AI‑enabled applications without locking into specific platforms.

• Partner with Data Governance teams to implement enterprise metadata management, lineage, and stewardship processes.
• Ensure architectures support discoverability, ownership, and trust in enterprise data assets.
• Align data solutions with security, privacy, and compliance requirements across regulatory environments.
• Promote documentation, standards, and shared accountability for data quality.

• Building Effective Teams
• Developing Talent
• Collaboration

• Leading by Example
• Communicates Effectively
• Ensures Accountability and Execution
• Manages Conflict

• Business Acumen
• Plans, Aligns and Prioritizes
• Organizational Agility

• Technology Strategy & Innovation
• Stakeholder Engagement
• Data Architecture and Engineering
• Drive for Results

• Bachelor's degree in information systems, computer science, or a related technical discipline; a Master’s degree is a plus.
• Minimum 7 years of experience in Data Architecture, Solution Architecture, and/or software engineering roles; extensive experience with enterprise‑scale data solutions across modern cloud…